Applied Scientist

Job Summary

Koah Labs is building the ad network to power the next generation of AI-native products. Our mission is to help publishers monetize and help advertisers reach the right audience — without compromising speed, UX, or privacy. We’re a small, tight-knit team in San Francisco with backgrounds at X, Apple, Meta, and early-stage startups. We’ve raised from top investors and are growing fast with real traction on both the publisher and advertiser sides.

About the Role

We move quickly, operate with high trust, and care deeply about craft. Our Stack includes Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, Cloudflare, Data stored in PostgreSQL, ClickHouse, Redis, Kafka, Python, Core Application built with Ruby on Rails, React, TypeScript, SDKs for Flutter, React Native, Android, iOS. Example projects include designing efficient algorithms for real-time bidding systems, creating and productionizing regression models to predict end conversions, applying privacy-preserving clustering methods to categorize conversational data, and analyzing data to find alpha that improves ad matching system outcomes.

Responsibilities

• Create and productionize regression models to predict end conversions based on demographic, audience, and semantic data
• Apply privacy-preserving clustering methods to categorize conversational data to improve advertiser outreach
• Analyze and pore over data to find alpha that can improve the core ad matching system balancing publisher and advertiser outcomes

Requirements

• Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
• Relentless focus on continuous learning and making an impact with an ability to question the status quo
• Strong mathematical and statistical modeling skills
• Enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact
• Enjoy communicating conclusions to both technical and non-technical audiences alike

Qualifications

You might be a fit if:

• You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
• You enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact
• You have a relentless focus on continuous learning and making an impact with an ability to question the status quo
• You have strong mathematical and statistical modeling skills
• You enjoy communicating conclusions to both technical and non-technical audiences alike

Benefits

We offer a competitive compensation range of $200K - $300K.